| Nus-pro: A new visual tracking challenge A Li, M Lin, Y Wu, MH Yang, S Yan IEEE transactions on pattern analysis and machine intelligence 38 (2), 335-349, 2015 | 219 | 2015 |
| Coupled bias–variance tradeoff for cross-pose face recognition A Li, S Shan, W Gao IEEE Transactions on Image Processing 21 (1), 305-315, 2011 | 175 | 2011 |
| stagnet: An attentive semantic rnn for group activity recognition M Qi, J Qin, A Li, Y Wang, J Luo, L Van Gool Proceedings of the European conference on computer vision (ECCV), 101-117, 2018 | 167 | 2018 |
| Clothing attributes assisted person reidentification A Li, L Liu, K Wang, S Liu, S Yan IEEE Transactions on Circuits and Systems for Video Technology 25 (5), 869-878, 2014 | 133 | 2014 |
| Maximizing intra-individual correlations for face recognition across pose differences A Li, S Shan, X Chen, W Gao 2009 IEEE Conference on Computer Vision and Pattern Recognition, 605-611, 2009 | 127 | 2009 |
| StagNet: An attentive semantic RNN for group activity and individual action recognition M Qi, Y Wang, J Qin, A Li, J Luo, L Van Gool IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 549-565, 2019 | 110 | 2019 |
| Integrating holistic and local deep features for glaucoma classification A Li, J Cheng, DWK Wong, J Liu 2016 38th annual international conference of the IEEE engineering in …, 2016 | 100 | 2016 |
| Image quality classification for DR screening using deep learning FL Yu, J Sun, A Li, J Cheng, C Wan, J Liu 2017 39th Annual international conference of the ieee engineering in …, 2017 | 93 | 2017 |
| Sports video captioning via attentive motion representation and group relationship modeling M Qi, Y Wang, A Li, J Luo IEEE Transactions on Circuits and Systems for Video Technology 30 (8), 2617-2633, 2019 | 69 | 2019 |
| Lagrange motion analysis and view embeddings for improved gait recognition T Chai, A Li, S Zhang, Z Li, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 61 | 2022 |
| Cross-view gait recognition with deep universal linear embeddings S Zhang, Y Wang, A Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 55 | 2021 |
| KE-GAN: Knowledge embedded generative adversarial networks for semi-supervised scene parsing M Qi, Y Wang, J Qin, A Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 52 | 2019 |
| Cross-pose face recognition based on partial least squares A Li, S Shan, X Chen, W Gao Pattern Recognition Letters 32 (15), 1948-1955, 2011 | 51 | 2011 |
| Adversarial binary coding for efficient person re-identification Z Liu, J Qin, A Li, Y Wang, L Van Gool 2019 IEEE International Conference on Multimedia and Expo (ICME), 700-705, 2019 | 42 | 2019 |
| STC-GAN: Spatio-temporally coupled generative adversarial networks for predictive scene parsing M Qi, Y Wang, A Li, J Luo IEEE Transactions on Image Processing 29, 5420-5430, 2020 | 38 | 2020 |
| Online cross-modal scene retrieval by binary representation and semantic graph M Qi, Y Wang, A Li Proceedings of the 25th ACM international conference on Multimedia, 744-752, 2017 | 38 | 2017 |
| A temporal attentive approach for video-based pedestrian attribute recognition Z Chen, A Li, Y Wang Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019 | 37* | 2019 |
| Learning supervised descent directions for optic disc segmentation A Li, Z Niu, J Cheng, F Yin, DWK Wong, S Yan, J Liu Neurocomputing 275, 350-357, 2018 | 33 | 2018 |
| CovGa: a novel descriptor based on symmetry of regions for head pose estimation B Ma, A Li, X Chai, S Shan Neurocomputing 143, 97-108, 2014 | 33 | 2014 |
| Gait-based age estimation with deep convolutional neural network S Zhang, Y Wang, A Li 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 32 | 2019 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
